Ten common statistical mistakes to watch out for when writing or reviewing a manuscript
Inspired by broader efforts to make the conclusions of scientific research more robust, we have compiled a list of some of the most common statistical mistakes that appear in the scientific literature. The mistakes have their origins in ineffective experimental designs, inappropriate analyses and/or...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2019-10-01
|
| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/48175 |
| id |
doaj-18d0abff458942c0ac8ec798b87b4660 |
|---|---|
| record_format |
Article |
| spelling |
doaj-18d0abff458942c0ac8ec798b87b46602021-05-05T17:59:23ZengeLife Sciences Publications LtdeLife2050-084X2019-10-01810.7554/eLife.48175Ten common statistical mistakes to watch out for when writing or reviewing a manuscriptTamar R Makin0https://orcid.org/0000-0002-5816-8979Jean-Jacques Orban de Xivry1https://orcid.org/0000-0002-4603-7939Institute of Cognitive Neuroscience, University College London, London, United KingdomMovement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium; Leuven Brain Institute, KU Leuven, Leuven, BelgiumInspired by broader efforts to make the conclusions of scientific research more robust, we have compiled a list of some of the most common statistical mistakes that appear in the scientific literature. The mistakes have their origins in ineffective experimental designs, inappropriate analyses and/or flawed reasoning. We provide advice on how authors, reviewers and readers can identify and resolve these mistakes and, we hope, avoid them in the future.https://elifesciences.org/articles/48175statisticsanalysisp-hackingnull resultspowercausality |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Tamar R Makin Jean-Jacques Orban de Xivry |
| spellingShingle |
Tamar R Makin Jean-Jacques Orban de Xivry Ten common statistical mistakes to watch out for when writing or reviewing a manuscript eLife statistics analysis p-hacking null results power causality |
| author_facet |
Tamar R Makin Jean-Jacques Orban de Xivry |
| author_sort |
Tamar R Makin |
| title |
Ten common statistical mistakes to watch out for when writing or reviewing a manuscript |
| title_short |
Ten common statistical mistakes to watch out for when writing or reviewing a manuscript |
| title_full |
Ten common statistical mistakes to watch out for when writing or reviewing a manuscript |
| title_fullStr |
Ten common statistical mistakes to watch out for when writing or reviewing a manuscript |
| title_full_unstemmed |
Ten common statistical mistakes to watch out for when writing or reviewing a manuscript |
| title_sort |
ten common statistical mistakes to watch out for when writing or reviewing a manuscript |
| publisher |
eLife Sciences Publications Ltd |
| series |
eLife |
| issn |
2050-084X |
| publishDate |
2019-10-01 |
| description |
Inspired by broader efforts to make the conclusions of scientific research more robust, we have compiled a list of some of the most common statistical mistakes that appear in the scientific literature. The mistakes have their origins in ineffective experimental designs, inappropriate analyses and/or flawed reasoning. We provide advice on how authors, reviewers and readers can identify and resolve these mistakes and, we hope, avoid them in the future. |
| topic |
statistics analysis p-hacking null results power causality |
| url |
https://elifesciences.org/articles/48175 |
| work_keys_str_mv |
AT tamarrmakin tencommonstatisticalmistakestowatchoutforwhenwritingorreviewingamanuscript AT jeanjacquesorbandexivry tencommonstatisticalmistakestowatchoutforwhenwritingorreviewingamanuscript |
| _version_ |
1721458822426394624 |